recipe bioconductor-chipseqdbdata

Data for the chipseqDB Workflow

Homepage:

https://bioconductor.org/packages/3.18/data/experiment/html/chipseqDBData.html

License:

CC BY 4.0

Recipe:

/bioconductor-chipseqdbdata/meta.yaml

Sorted and indexed BAM files for ChIP-seq libraries, for use in the chipseqDB workflow. BAM indices are also included.

package bioconductor-chipseqdbdata

versions:

1.18.0-0,  1.16.0-0,  1.14.0-0,  1.10.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-1,  1.6.0-0,  1.4.0-0, 

1.18.0-0,  1.16.0-0,  1.14.0-0,  1.10.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-1,  1.6.0-0,  1.4.0-0,  1.2.0-0,  1.0.0-1

depends bioconductor-annotationhub:

>=3.10.0,<3.11.0

depends bioconductor-data-packages:

>=20231203

depends bioconductor-experimenthub:

>=2.10.0,<2.11.0

depends bioconductor-rsamtools:

>=2.18.0,<2.19.0

depends bioconductor-s4vectors:

>=0.40.0,<0.41.0

depends curl:

depends r-base:

>=4.3,<4.4.0a0

requirements:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-chipseqdbdata

and update with::

   mamba update bioconductor-chipseqdbdata

To create a new environment, run:

mamba create --name myenvname bioconductor-chipseqdbdata

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull quay.io/biocontainers/bioconductor-chipseqdbdata:<tag>

(see `bioconductor-chipseqdbdata/tags`_ for valid values for ``<tag>``)

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